Xylo™
A ultra-low-power neuromorphic computing chip specialized in processing bioelectrical signals such as EMG and EEG, serving as the “intelligent brain” for interactive devices.
The Xylo™ series is a globally leading ultra-low-power neuromorphic computing chip designed to process bioelectrical signals like EMG and EEG. Serving as the “intelligent brain” for next-generation interactive devices, it leverages a unique Spiking Recurrent Neural Network algorithm and a fully parallel, event-driven architecture to deliver real-time, high-precision neural signal processing at microwatt-level power. As a core computing engine for both invasive and non-invasive brain–computer interfaces, Xylo™ acts as a general purpose low-dimensional natural signal processor. It supports online learning and real-time sensor processing, enabling “always-on” intelligent perception at the device edge
Applications
Beyond EEG signal processing, Xylo™ empowers a wide range of cutting-edge fields including smart healthcare, industrial IoT, wearable devices, and intelligent security, effectively merging biological intelligence with machine computation to usher in a new era of high-efficiency human-machine interaction.
Xylo™ interfaces directly with electrodes to complete the end-to-end EEG signal processing chain: amplifying microvolt-level raw signals with ultra-low noise, performing precise filtering to eliminate interference, and converting them into high-fidelity digital signals, thereby providing a clean data foundation for neural decoding algorithms.
Its built-in analog front-end and spiking neural network processor are compatible with various sensors such as audio, IMU, and pressure, enabling multi-modal perception fusion to expand interactive dimensions and enhance overall system performance.
Xylo™IMU Development Kit
Xylo™IMU is the latest addition to the Xylo™ family, joining the Xylo™Audio chip. A fully digital AI chip consisting of a dedicated IMU sensor data acquisition and conversion block (supporting the MC3632 IMU sensor) and a low-power inference core (Xylo™ Core), Xylo™ relies on spiking neural networks(SNNs) for real-time ultra-low-power sensory inference.
The Xylo™IMU Dev Kit is powered by the SynSense Xylo™IMU chip, which brings the flexibility of highly configurable SNN processing to microwatt energy budgets. With appropriate network design and training, Xylo™IMU supports a range of IMU-based battery-powered applications, for example: human behavior detection, fall detection, livestock monitoring, etc.
Xylo-Audio Development Kit
It provides the capabilities for real-time audio detection. A high performance MEMS mic, power consumption measuring unit, external audio input port and a USB-C port are also provided by development kit.
Requirements
